Glassdoor users rated their interview experience at NVIDIA as 100% positive with a difficulty rating score of 3 out of 5 (where 5 is the highest level of difficulty). Candidates interviewing for Sr. Machine Learning Engineer and rated their interviews as the hardest, whereas interviews for Sr. Machine Learning Engineer and roles were rated as the easiest.
The hiring process at NVIDIA takes an average of 21 days when considering 1 user submitted interviews across all job titles. Candidates applying for Sr. Machine Learning Engineer had the quickest hiring process (on average 21 days), whereas Sr. Machine Learning Engineer roles had the slowest hiring process (on average 21 days).
Here are the most commonly searched roles for interview reports -
I applied through an employee referral. The process took 2 weeks. I interviewed at NVIDIA (Israel, TX) in May 2024
Interview
Recruiter called asking for interview at first i got a question about hardware stuff, which is: make and gate using or and not, the interviewers asked about my resume and asked another question after about memory managment
I applied through college or university. The process took 3 weeks. I interviewed at NVIDIA (Bengaluru) in Jan 2024
Interview
Online objective test and interview .online test was moderate and had trivial digital design questions. Interview had aptitude, digital design and MOSFET physics related questions. It was if moderate difficulty. Then few generic questions were asked from resume. I was asked to explain my projects as well
Conduct interviews via their own HR, rely less on agencies. The process was a 30 minute regular interview focused on a range of topics. It appeared that they have a flexible work from home setup and most of their support staff is based on the Continent
Interview questions [1]
Question 1
How can NVIDIA gain traction outside the main channels / partnerships